Monetary Punishment Promotes Cooperation in Complex Networks

Huayan Pei, Guanghui Yan, Huanmin Wang
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Abstract

In cooperation dilemmas, for cooperation to emerge, a mechanism for the evolution of cooperation is needed. We propose a costly monetary punishment model based on the spatial prisoner’s dilemma game and complex networks, specifically, cooperators sanction defective behaviors by applying a punishment fine to defectors directly, and all cooperators share the punishment cost. We mainly focus on how the monetary punishment mechanism affects the evolution of individuals’ strategy behaviors under different network structures. Results show that cooperation is significantly promoted even for quite small initial fractions of cooperators in square lattice and small-world network. Furthermore, we find out that when the mechanism is turned off, cooperation drops to a comparatively lower level in small-world network, while there is no change in square lattice. Additionally, the mechanism promotes the average payoff of the population.
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货币惩罚促进复杂网络中的合作
在合作困境中,合作要产生,就需要有合作的演化机制。基于空间囚徒困境博弈和复杂网络,提出了一种代价昂贵的货币惩罚模型,即合作者直接对叛逃者处以罚金来惩罚有缺陷的行为,所有合作者共同承担惩罚成本。本文主要研究货币惩罚机制对不同网络结构下个体策略行为演化的影响。结果表明,在方格子和小世界网络中,即使合作方的初始分数很小,合作方也能显著提高合作性。进一步,我们发现当机制被关闭时,小世界网络中的合作下降到一个相对较低的水平,而正方形晶格没有变化。此外,该机制促进了人口的平均收益。
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